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Customers can run our models on infrastructure they control with an Enterprise contract. To get started, please fill out this form.

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What’s the difference between Open Source and Datalab’s paid On-Prem options?

Our free open-source options (Chandra, Marker, and Surya) are ideal for research, personal use, and early-stage startups. Our paid on-prem options are for teams that need a commercial license to run our models and have one or multiple of the following requirements:
  • Require data privacy/operate in highly-regulated environments
  • Extremely high volume
  • Model training or customization
  • White-glove support and SLAs
Here’s a more detailed breakdown.
Free (Open Source)Datalab On-Prem
Intended UseResearch, personal use, startups < $2M ARR/fundingCommercial workloads requiring data privacy, easy deployments, and white-glove support
LicenseGPL + custom RAILsCommercial license to use our models on-prem (Marker/Surya/Chandra) without sublicensing. Custom rights as needed.
DeploymentSelf-install from OSS reposCustom deployment topologies and Datalab-assisted rollout options as-needed. For small deployments, we have a Docker image that is simple to use and upgrade.
SupportCommunity onlyPremium support with SLAs
ContractingNoneCustom agreements and security reviews. For POCs and small deployments we offer no-redline agreements to get started, fast.
BillingFreeInvoice/PO, custom terms. For small deployments we offer credit card checkout.
Scale and PerformanceSelf-effortThroughput/latency/accuracy tuning; custom page counts; custom rate limits. For small deployments we offer optimized single-GPU support that is simple to deploy and operate.
For higher page volume & GPU concurrency, fully-airgapped deployments, white glove support, and other custom needs,

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Try before you buy

We have two easy ways for customers to try our models: Our container image mimics the cloud-hosted API for a simple transition: